Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1403
Title: Lyapunov function based design of robust fuzzy controllers for uncertain nonlinear systems : distinct Lyapunov functions
Authors: Leung, FHF 
Lam, HK
Tam, PKS
Keywords: Closed loop control systems
Feedback control
Functions
Lyapunov methods
Mathematical models
Nonlinear control systems
Parameter estimation
Robustness (control systems)
System stability
Issue Date: 1998
Publisher: IEEE
Source: The 1998 IEEE International Conference on Fuzzy Systems proceedings : IEEE World Congress on Computational Intelligence : May 4-May 9, 1998, Anchorage, Alaska, USA, p. 577-582 How to cite?
Abstract: This paper presents the stability and robustness analyses of an uncertain fuzzy control system which is formed by an uncertain fuzzy plant model and a fuzzy controller. The fuzzy plant model with parameter uncertainties describes exactly the behavior of an uncertain nonlinear plant. Three design approaches are introduced to close the feedback loop. Based on the Lyapunov's stability theory, new stability criteria and robust areas are to be derived without resorting to a common Lyapunov function. An application example on stabilizing an uncertain nonlinear mass-spring-damper system will be given to illustrate the merit.
URI: http://hdl.handle.net/10397/1403
ISBN: 0-7803-4863-X
Rights: © 1998 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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